In-vitro Study and In-vivo Predictions of Valsartan and Amlodipine Capsules through Micro Tablets

Author:

Binuraj K.ORCID,Sharma Maya,Zine Sandip

Abstract

Aim: The present research work was carried out to develop Valsartan and Amlodipine capsules using micro tablets and to evaluate the in-vitro drug release characteristics. The study was targeted to determine the systemic concentrations using in-vivo prediction. Study Design: The in vivo parameters along with the marketed Valsartan and Amlodipine product was predicted using WinNonlin® software external prediction method. Place and Duration of the Study: The present work was carried out at Pacific Academy of Higher Education and Research University, Udaipur between the duration of February-2019 to November-2019. Methodology: The dissolution studies were performed for test and reference products in 900ml Phosphate buffer (pH 6.8), and the USP Type II apparatus at 50 RPM with a sinker. The in vivo pharmacokinetic prediction was performed using WinNonlin® Software. A mechanistic oral absorption model was built in Phoenix® WinNonlin® 8.2 software (Certara, Princeton, NJ, 08540, USA). Results: The in-vitro dissolution studies were comparable between the test product and the reference product. The Similarity factor achieved was 61.7 and 84.8 for Amlodipine and Valsartan test product in comparison with the reference product. An average percent prediction error for Cmax and AUC for both Valsartan and Amlodipine achieved was less than 10% for all IVIVC models. Conclusion: The relatively low prediction errors for Cmax and AUC observed strongly suggest that the Valsartan and Amlodipine IVIVC models are valid. The average percent prediction error of less than 10% indicates that the correlation is predictive and allows the associated dissolution data to be used as a surrogate for bioavailability studies.

Publisher

Sciencedomain International

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3